Technology Engineer II – Platform & Full Stack Engineering

AbbVie; Illinois; On-site; USD 140,000 - 210,000; Full time

Job summary

AbbVie is seeking a technical contributor to design, engineer, and optimize software delivery pipelines and full stack applications in a modern, scalable, and compliant development environment.

You will integrate AI-assisted development capabilities into the lifecycle, ensure reproducibility and traceability, and align with enterprise IT and regulatory requirements while improving engineering practices and tooling.

Qualifications

• Bachelor’s degree in computer science with 7 years’ experience; Master’s Degree in CS with 6 years’ experience; PhD with 2 years’ experience.
• Experience with AI-assisted software development tools and agentic development workflows.
• Experience with CI/CD pipelines in cloud or hybrid environments.
• Strong backend programming skills and familiarity with frontend frameworks.
• Experience with DevOps toolchains and Git-based workflows.
• Experience deploying and supporting containerized applications using Docker and Kubernetes.
• Understanding of SDLC practices, documentation, traceability, and validation in regulated environments.
• Ability to learn and apply new technologies.
• Strong communication and collaboration skills.
• Structured and detail-oriented working style.

Responsibilities

• Design, implement, and operate robust CI/CD pipelines and automated workflows for reliable builds, tests, and deployments.
• Engineer full stack solutions by developing backend services and frontend components.
• Develop and maintain scalable, modular, and testable code with appropriate testing practices.
• Integrate and standardize toolchains across the SDLC including VCS, build automation, artifacts, and security scanning.
• Monitor, analyze, and optimize pipeline and application performance with observability capabilities.
• Embed and enforce security, compliance, and quality controls for regulated environments.
• Contribute to architecture and technical design decisions.
• Apply DevOps and platform engineering practices including containerization and IaC.
• Evaluate and adopt emerging technologies including AI-assisted development.
• Drive continuous improvement of development processes, tools, and standards.
• Produce and maintain technical documentation.
• Collaborate with cross-functional and global teams.
• Support governance, traceability, and validation for AI-assisted software development.

Skills

AI-assisted tools

CI/CD pipelines

Backend development

Frontend frameworks

DevOps toolchains

Git-based workflows

Docker

Kubernetes

Regulated environments

Communication

Education

Bachelor’s in CS

Master’s in CS

PhD (advanced)

Tools

GitHub Copilot

Claude Code

OpenAI tools

Job description

Technical contributor responsible for designing, engineering, and continuously optimizing software delivery pipelines and full stack applications in support of modern, scalable, and compliant development environments. The role combines CI/CD pipeline engineering, application development, and platform integration to enable efficient, automated, and governed software delivery. A key focus is the integration of agentic (AI-supported) development capabilities into the software lifecycle, ensuring reproducibility, traceability, and compliance by design. The position requires the ability to implement end-to-end technical solutions across application and platform layers, while continuously improving engineering practices, tooling, and delivery standards in alignment with enterprise IT and regulatory requirements.

Responsibilities

• Design, implement, and operate robust CI/CD pipelines and automated workflows, ensuring reliable and repeatable software build, integration, testing, and deployment processes.
• Engineer full stack solutions by developing backend services and frontend components.
• Develop and maintain scalable, modular, and testable code with appropriate testing practices.
• Integrate and standardize toolchains across the SDLC including version control, build automation, artifact management, and security scanning.
• Monitor, analyze, and optimize pipeline and application performance with observability capabilities.
• Embed and enforce security, compliance, and quality controls aligned with enterprise and regulatory requirements.
• Contribute to architecture and technical design decisions.
• Apply DevOps and platform engineering practices including containerization and infrastructure as code (IaC).
• Evaluate and adopt emerging technologies including AI-assisted development.
• Drive continuous improvement of development processes, tools, and standards.
• Produce and maintain technical documentation.
• Collaborate with cross-functional and global teams.
• Support implementation of governance, traceability, and validation practices for AI-assisted software development in a regulated environment.

Required

• Bachelor’s degree in computer science with 7 years’ experience; Master’s Degree in CS with 6 years’ experience; PhD with 2 years’ experience.
• Experience working with AI-assisted software development tools (e.g., GitHub Copilot, Claude Code, OpenAI) and strong understanding of emerging agentic development workflows.
• Experience with CI/CD pipelines in cloud or hybrid environments.
• Strong backend programming skills and familiarity with frontend frameworks.
• Experience with DevOps toolchains and Git-based workflows.
• Experience deploying and supporting containerized applications using Docker and Kubernetes.
• Understanding of SDLC practices, documentation, traceability, and validation requirements within regulated environments.
• Ability to learn and apply new technologies.
• Strong communication and collaboration skills.
• Structured and detail-oriented working style.

Preferred

• Experience with Cloud-Native development and deployment on AWS or Azure.
• Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• Familiarity with DevSecOps practices including vulnerability scanning, secrets management, and secure coding standards.
• Experience developing REST APIs, microservices, and modern web applications using frameworks such as .NET, Python, React, or similar technologies.
• Experience with observability and monitoring platforms such as Datadog, Grafana, Splunk, OpenTelemetry, or similar tools.
• Experience in the pharmaceutical industry.

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
• This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/ Veterans/ Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, learn more at https://www.abbvie.com/join-us/reasonable-accommodations.html